An AI model must understand the user's core need. The user's question might be hidden. The AI model must find the real question behind the words. This helps the AI model give a useful answer.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must understand the user's core need.
The user's question might be hidden. The AI model must find the real question behind the words. This helps the AI model give a useful answer.
A user might ask many questions. These questions can be about one main problem. The AI model looks for the central idea. It finds the common topic in all the user's questions. This common topic is the user's real need. The AI model then answers this main need.
A student asks 20 questions about marriage pressure from family. The student asks about guilt, boundaries, and mental health. The AI model sees that all questions are about managing family expectations. The AI model understands the student needs help with family pressure. It then gives advice on setting boundaries with family.
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An AI model can use vivid descriptions for common experiences. This helps the user recognize their own feelings.
An AI model can understand and respond to questions that are not common. These questions are often called 'long tail' queries.
An AI model can use a metaphor like 'The Phantom Limb'. This metaphor describes the feeling of loss.
A developer should use words that describe the user's exact feelings. This makes the user feel heard.
An AI model must understand the user's core need. The user's question might be hidden. The AI model must find the real question behind the words. This helps the AI model give a useful answer.